Ecosystem condition

Data and Resources

Additional Info

Field Value
Last Updated August 8, 2018, 12:46 (Europe/Berlin)
Created July 27, 2018, 15:51 (Europe/Berlin)
E-mail a.iglesias-campos@unesco.org
Language Eng
Abstract Following Maes et al. (2018), ecosystem condition was quantified in the CS2 area considering three different classes of conservation status: ‘Favourable’, ‘Unfavourable-inadequate’ and ‘Unfavourable-bad’, ‘Unfavourable’ meaning that management policies for these habitats should be implemented and/or changed. Spatial information on human pressure (i.e. the human footprint) was used as a proxy of ecosystem condition (Maes et al. 2018), given the strong causal relationship between pressures and ecosystem condition. Human footprint dataset was previously standardized and then three different human pressure categories were established according to quantile thresholds. Ecosystem condition category is attributed to each habitat type (EUNIS habitat classification levels 1 and 2). Habitats in the best condition category (3) are at a favourable condition, whereas habitats in the two lower ecosystem condition categories (2, 1) are at unfavourable-inadequate and unfavourable-bad condition, respectively.
Resource type Spatial dataset
Spatial representation type vector
License CC-BY-4.0
Classification Environment
Creation date 2018-05-30
Publication date 2018-07-27
Last revision date 2018-07-27
INSPIRE theme Habitats and biotopes
Free keywords Human footprint, Intercontinental Biosphere Reserve of the Mediterranean, EUNIS, habitats, ecosystem condition
Vocabulary date type
Temporal date 2018-07-27
Lineage This dataset resulted from the analysis of several sources. For more information please, see Barbosa et al. in press. and http://dataportal.aquacross.eu/dataset/group-intercontinentalbiosphere-hfiibrm
Responsible party Organisation: IOC-UNESCO
Email: a.iglesias-campos@unesco.org
Role: Point of Contact
Related publications **Barbosa, A., Martín, B., Hermoso, V., Arévalo-Torres, J., Barbière, J., Martínez-López, J., Domisch, S., Langhans, S.D., Balbi, S., Villa, F., Delacámara, G., Teixeira, H., Nogueira, A.J.A., Lillebø, A.I., Gil-Jiménez, Y., Iglesias-Campos, A. in press. An Ecosystem-Based Management Approach for the spatial planning of Green and Blue Infrastructure at the Intercontinental Biosphere Reserve of the Mediterranean: Andalusia (Spain) – Morocco. STOTEN ** Maes, J., & Al., E. (2018). Mapping and Assessment of Ecosystems and their Services An analytical framework for mapping and assessment of ecosystem condition in EU. Retrieved from http://ec.europa.eu/environment/nature/knowledge/ecosystem_assessment/pdf/5th MAES report.pdf **http://dataportal.aquacross.eu/dataset/group-intercontinentalbiosphere-hfiibrm **http://dataportal.aquacross.eu/group-intercontinentalbiosphere-listofspeciesibrm **http://dataportal.aquacross.eu/group-intercontinentalbiosphere-listofspeciesibrm ** http://dataportal.aquacross.eu/dataset/group-intercontinentalbiosphere-list-of-habitats-in-the-cs2 **http://dataportal.aquacross.eu/group-intercontinentalbiosphere-ecosystemservices **http://dataportal.aquacross.eu/dataset/group-intercontinentalbiosphere-probabilityofspeciesoccurrence **http://dataportal.aquacross.eu/dataset/group-intercontinentalbiosphere-pus **http://dataportal.aquacross.eu/group-intercontinentalbiosphere-gblsolution ****http://dataportal.aquacross.eu/group-intercontinentalbiosphere-gblselfreq
Projections WGS 84 -- EPSG-4326
Spatial extent - North 36.97
Spatial extent - South 34.8
Spatial extent - East -4.68
Spatial extent - West -5.84

Dataset extent


Political boundaries: GAUL 2015, © FAO Statistics Division.